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Meta Distant Transfer Learning for Pre-trained Language Models ...
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Improving Span Representation for Domain-adapted Coreference Resolution ...
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84 |
Temporal Adaptation of BERT and Performance on Downstream Document Classification: Insights from Social Media ...
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85 |
An Empirical Study on Multiple Information Sources for Zero-Shot Fine-Grained Entity Typing ...
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Looking for Confirmations: An Effective and Human-Like Visual Dialogue Strategy ...
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CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization ...
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Latent Hatred: A Benchmark for Understanding Implicit Hate Speech ...
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STaCK: Sentence Ordering with Temporal Commonsense Knowledge ...
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ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning ...
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Weakly supervised discourse segmentation for multiparty oral conversations ...
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Abstract:
Anthology paper link: https://aclanthology.org/2021.emnlp-main.104/ Abstract: Discourse segmentation, the first step of discourse analysis, has been shown to improve results for text summarization, translation and other NLP tasks. While segmentation models for written text tend to perform well, they are not directly applicable to spontaneous, oral conversation, which has linguistic features foreign to written text. Segmentation is less studied for this type of language, where annotated data is scarce, and existing corpora more heterogeneous. We develop a weak supervision approach to adapt, using minimal annotation, a state of the art discourse segmenter trained on written text to French conversation transcripts. Supervision is given by a latent model bootstrapped by manually defined heuristic rules that use linguistic and acoustic information. The resulting model improves the original segmenter, especially in contexts where information on speaker turns is lacking or noisy, gaining up to 13% in F-score. ...
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Keyword:
Computational Linguistics; Machine Learning; Machine Learning and Data Mining; Natural Language Processing; Text Summarization
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URL: https://underline.io/lecture/37794-weakly-supervised-discourse-segmentation-for-multiparty-oral-conversations https://dx.doi.org/10.48448/qyxq-tq15
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Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution ...
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Progressively Guide to Attend: An Iterative Alignment Framework for Temporal Sentence Grounding ...
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Knowledge Enhanced Fine-Tuning for Better Handling Unseen Entities in Dialogue Generation ...
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STANKER: Stacking Network based on Level-grained Attention-masked BERT for Rumor Detection on Social Media ...
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IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language Generation ...
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SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis ...
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